Abstract

In this paper, we present a technique that use fuzzy control to guarantee stability during off-line training operation and neural networks to model the inverse characteristics of drive systems with changing parameters and load. The computer simulation results indicate that the proposed approach can be promising method to overcome the ill effects of wide-ranging parameter variations.